APLIKASI SISTEM PAKAR UNTUK MENDIAGNOSA PENGGUNA NARKOBA MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEB PADA BADAN NARKOSTIKA NASIONAL PROVINSI SUMATERA BARAT

2017 ◽  
Vol 2 (2) ◽  
pp. 001
Author(s):  
Rifa Turaina ◽  
Nelfira Nelfira ◽  
Rahmat Saputra
Keyword(s):  
Expert System ◽  
Programming Language ◽  
Drug User ◽  
Prevention And Control ◽  
Technological Development ◽  
Certainty Factor ◽  
Web Based ◽  
Forward Chaining ◽  
To Come ◽  
And Control

When seeking a consultation to diagnose drugs and find out the solutions of prevention and control over drugs, users need time, money and energy to come and consult a doctor or rehabilitation officer at the National Narcotics Board of West Sumatera Province. Expert System to diagnose this drug user using Forward Chaining Method in selecting symptoms - symptoms that appear on the drug user and using the Certainty Factor Method to determine the amount of confidence or expert beliefs against the diagnosis results. Expert System is one of the implementation of technological development that can solve a problem like a human being. This system has the ability to diagnose the types of drugs used along with prevention and how to overcome them. Expert System is designed web-based using the programming language PHP (Hypertext Preprocessor) and MySQL databases, as well as internet connected that can facilitate people to diagnose the type of drugs and know the prevention and prevention of drug use.

scholarly journals PERANCANGAN SISTEM PAKAR UNTUK MENGIDENTIFIKASI GANGGUAN PADA TANAMAN JAMBU AIR MENGGUNAKAN METODE CERTAINTY FACTOR

2021 ◽  
Vol 1 (01) ◽  
pp. 1
Author(s):  
Ahmat Yusuf ◽  
Bagus Satrio Waluyo Poetro
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
Programming Language ◽  
Crop Yields ◽  
Certainty Factor ◽  
Crop Failure ◽  
Web Based ◽  
Pests And Diseases ◽  
The Core ◽  
Central Java

The state of Indonesia, especially in the area of Central Java, is one of the largest producers of water guava. Some farmers rely on the results of guava cultivation as the basis for the family's economy because the guava harvest is quite promising. However, in certain seasons, water guava plants are often attacked by various kinds of pest and disease season disturbances. So that it can reduce crop yields or even cause crop failure. To overcome this problem, fast and precise action is needed so that the guava plant is protected from various kinds of pests and diseases. The method of developing an expert system for disturbance in water guava plants is the best solution in order to identify disturbances in water guava plants as early as possible. The method used in this expert system is the certainty factor method. With this method, several experts are needed to provide data related to disturbances in water guava plants. The expert system for guava plant disorders is designed using a web-based PHP programming language. In designing the knowledge base, which is the core of this system, is made dynamically to make it easier to add new data.

scholarly journals SISTEM PAKAR UNTUK MENDETEKSI KESALAHAN ELEKTRODA PADA PROSES WELDING FRAME THERMOSTAT PADA SOULPLATE MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEB (STUDI KASUS PT PHILIPS)

2017 ◽  
Vol 3 (2) ◽  
pp. 211-225
Author(s):  
Sestri Novia Riski
Keyword(s):  
Expert System ◽  
Programming Language ◽  
Arc Welding ◽  
Shielded Metal Arc Welding ◽  
Metal Object ◽  
Web Based ◽  
Forward Chaining ◽  
Frequent Use ◽  
Metal Arc Welding ◽  
Tool Damage

The use of SMAW (Shielded Metal Arc Welding) in the industrial world is enough widely used. With this machine the human greatly helped by the need to make a metal object. So that by the frequent use of these tools, the more susceptible it is also a tool damage. Technicians machines supplied by the company are not proportional to the number of machines. Therefore, to help resolve this issue needs an expert system that can act as an assistant to the engineer. Data relating to the damage processed using forward chaining expert system. Expert systems are made using the programming language PHP and MySQL database so as to produce an expert system to detect damage SMAW web based. So it can help technicians solve problems SMAW and can also be used for the source of knowledge about the condition and its causes and solutions to overcome them.

scholarly journals Implementasi Metode Certainty Factor pada Sistem Pakar Diagnosa Penyakit Ayam Berbasis Android

2019 ◽  
Vol 5 (3) ◽  
pp. 185
Author(s):  
Muqorobin Muqorobin ◽  
Prabowo Budi Utomo ◽  
Muhammad Nafi’Uddin ◽  
Kusrini Kusrini
Keyword(s):  
Expert System ◽  
Mobile Application ◽  
Expert Knowledge ◽  
Disease Diagnosis ◽  
Android Application ◽  
Certainty Factor ◽  
Web Based ◽  
Diagnosis System ◽  
Forward Chaining ◽  
Web Based System

Penelitian ini dilakukan berdasarkan kebutuhan akan adanya alat bantu bagi peternak maupun penyuluh dalam mendiagnosis penyakit pada ayam. Basis pengetahuan sepenuhnya diambil dari pengetahuan pakar yang dapat mendiagnosa dan menentukan nama penyakit yang diderita oleh ayam. Penelitian ini dibuat berdasarkan hasil analisis dengan membandingkan 4 jurnal internasional yang berjudul “Expert system of quail disease diagnosis using forward chaining method, An Expert System for Management of Poultry Diseases, Developling Mobile Expert Web-based System Using Brainstroming Method, Disease Diagnosis System”. Berdasarkan keempat jurnal tersebut dapat dikembangkan inovasi baru berupa Sistem pakar diagnosa penyakit ayam menggunakan metode Certainty Factor. Metodologi penelitian menggunakan wawancara dan studi literature sehigga dapat menggumpulkan data yang lebih lengkap. Sistem Pakar ini akan di implementasikan kedalam sebuah aplikasi mobile berbasis android dengan harapan memudahkan user dalam menggunakan karena dibuat kedalam aplikasi android sehingga bisa di install dalam handphone. Hasil akhir berupa suatu informasi data penyakit dengan nilai Certainty Factor/kepastian.Kata Kunci — Diagnosa Penyakit Ayam, Sistem Pakar, Android, Certainty FectorThis study was conducted based on the need for tools for farmers and extension workers in diagnosingdiseases in chickens. The knowledge base is completely drawn from the expert knowledge that can diagnose and determine the name of the disease suffered by chickens. This study was based on the results of the analysis by comparing four international journals entitled "Expert system of quail disease diagnosis using forward chaining method, An Expert System for Management of Poultry Diseases, Developing Mobile Expert Web-based System Using Brainstroming Method, Disease Diagnosis System". Based on the four journals can be developed a new innovation in the form of expert system of chicken disease diagnosis using Certainty Factor method. The research methodology uses interviews and literature studies so that it can collect more complete data. Expert System will be implemented into an android-based mobile application with the hope of facilitating the user in using because it is made into the android application that can be installed in the mobile phone. The final result is an information of disease data with Certainty Factor value/certainty.Keywords — Diagnosis of Chicken Disease, Expert System, Android, Certainty Fector

scholarly journals Sistem Pakar Mendiagnosa Penyakit Ayam Kampung Dengan Menggunakan Metode Certainty Factor Berbasis Web

2021 ◽  
Vol 4 (6) ◽  
pp. 390-396
Author(s):  
Ida Royani Simanungkalit ◽  
Bosker Sinaga
Keyword(s):  
Expert System ◽  
Programming Language ◽  
Certainty Factor ◽  
Web Based ◽  
Free Range ◽  
Animal Diseases ◽  
Chicken Farm ◽  
Conducting Research ◽  
Poultry Farming

Poultry farming in Indonesia is still not successful in meeting some of the domestic needs, including being vulnerable to attacks by dangerous animal diseases. People are also restless because of dangerous diseases from chickens that can be transmitted to humans due to consuming chicken meat that has been infected with the disease. The case study in conducting research to diagnose free-range chicken disease was carried out at the Bang Ari Chicken Farm on Jalan Jamin Ginting Pamen Complex No.14 Padang Bulan, Medan Baru District, Medan City. The required criteria data is the type of disease and symptoms of the disease that attacks native chickens as well as the treatment actions that will be taken against the diseased chickens according to the disease experienced. This study aims to build a web-based expert system in diagnosing free-range chicken diseases using the certainty factor method. From the case example, the results of the calculation of certainty factor on the symptoms of free-range chickens, the disease that has the largest percentage value is P 7, namely Chronic Cough Disease of 97.50%. The system for diagnosing free-range chicken disease was built using a web-based programming language and MySQL database.

scholarly journals Sistem Pakar Untuk Mendeteksi Kerusakan Pada Sepeda Motor Dengan Menggunakan Metode Forward Chaining Berbasis Web

2018 ◽  
Vol 9 (1) ◽  
pp. 42-58
Author(s):  
Januardi Nasir ◽  
Zefly Haposan Gultom
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
System Design ◽  
Programming Language ◽  
Production System ◽  
Web Based ◽  
Forward Chaining ◽  
Knowing That ◽  
System Method ◽  
System Data

Kebanyakan pengendara cenderung menyerahkan sepeda motor kepada mekanik tanpa mengetahui sebenarnya kerusakan tersebut merupakan kerusakan sederhana atau terlalu rumit untuk diperbaiki. Untuk menangani permasalahan tersebut maka dibutuhkan sebuah sistem pakar yang mampu untuk menganalisa, menemukan dan memberikan solusi. Kemampuan seorang mekanik sepeda motor dapat diimplementasikan kedalam sebuah sistem pakar. Data-data yang berkaitan dengan kerusakan sepeda motor 4-tak dianalisa kemudian diolah menggunakan metode sistem pakar forward chaining. Model representasi pengetahuan yang digunakan dalam sistem pakar adalah berbasis kaidah produksi. Desain sistem dilakukan menggunakan bantuan aplikasi starUML. Sistem pakar dibuat menggunakan bahasa pemrograman PHP dan database MySQL sehingga menghasilkan sebuah sistem pakar untuk mendeteksi kerusakan sepeda motor 4-tak menggunakan metode forward chaining berbasis web. Berdasarkan hasil pengujian dan percobaan yang telah dilakukan menunjukkan bahwa sistem pakar untuk mendeteksi kerusakan sepeda motor 4-tak berfungsi dengan baik. Sistem pakar untuk mendeteksi kerusakan sepeda motor 4-tak menggunakan metode forward chaining berbasis web dapat digunakan untuk membantu mekanik dalam menangani permasalahan yang berkaitan dengan sepeda motor dan juga dapat digunakan sebagai sumber pengetahuan mengenai hal-hal yang berhubungan dengan sepeda motor 4-tak seperti gejala kerusakan sepeda motor 4-tak, penyebabnya serta solusi untuk mengatasinya.  Abstract Most rider tend to give motorcycles to mechanics without knowing that the damage is simple or too complicated to repair. To handle these problems then needed an expert system that is able to analyze, find and provide solutions. The ability of a motorcycle mechanic can be implemented into an expert system. Data related to 4-stroke motorcycle damage were analyzed and then processed using forward chaining expert system method. The model of knowledge representation used in expert systems is based on the rules of production. System design is done using the help of starUML application. Expert systems are created using the PHP programming language and MySQL database so as to generate an expert system to detect 4-stroke motorcycle damage using web-based forward chaining method. Based on the results of tests and experiments that have been done show that the expert system to detect the damage 4-stroke motorcycle is not working properly. The expert system for detecting 4-stroke motorcycle damage using a web-based forward chaining method can be used to assist mechanics in dealing with motorcycle-related issues and can also be used as a source of knowledge on matters relating to 4-stroke motorcycles such as symptoms 4-stroke motorcycle damage, its causes and solutions to overcome them.     

scholarly journals Expert System for Chili Plants Disease Detection using Certainty Factor Method

2019 ◽  
Vol 9 (1) ◽  
pp. 1145-1151
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Programming Language ◽  
Disease Detection ◽  
Certainty Factor ◽  
Web Based ◽  
Factor Method ◽  
Delone And Mclean ◽  
The Creation ◽  
Design And Manufacture

This paper describes the creation of an expert system that is used to diagnose diseases in chili plants using a web-based certainty factor method. This expert system is made based on the weight of symptoms by experts so that users can find out the disease suffered by chili plants based on symptoms that arise. The symptom weight was calculated using the certainty factor method. This method is used to accommodate uncertainties that are often expressed by experts when detecting a disease. The design and manufacture of this expert system are done using the PHP programming language, MySQL database, CSS and the CodeIgniter framework. The results of the analysis between expert and expert systems have 87.09% compatibility level, and based on the calculation of the feasibility of the system with the Delone and McLean model shows that 77.58% of respondents agree Pakarcabaiku.com is a successful system for detecting chili disease.

scholarly journals A Web Based Expert System for Identifying Bloomed Plants

2009 ◽  
Vol 1 (1) ◽  
Author(s):  
Anny Kartika Sari ◽  
Adriana Sari Aryani
Keyword(s):  
Expert System ◽  
Programming Language ◽  
Future Development ◽  
Management System ◽  
Database Management ◽  
Database Management System ◽  
Inference Process ◽  
Web Based ◽  
Forward Chaining ◽  
Starting Point

This research discusses the development of a web based expert system for identifying bloomed plants. The identification is based on the seven visible features of a bloomed plant, i.e. the root type, the type of the plant, the shape of the flowers, the shape of the leaves, the height of the plant, and the length and the width of the leaves. For inference process, the forward chaining method is used. The system is developed using PHP as the programming language and MySQL as the database management system. Based on some testing conducted to the system, it can be concluded that the system can identify bloomed plants with the accuracy of 100%. The system can accommodate the update on its knowledge as long as the update is only on the available features in the system. This drawback can be used as starting point for the future development of the system.

Implementasi Metode Forward chaining dan Certainty factor dalam Mendiagnosa Autisme Anak Berbasis Web

2021 ◽  
Vol 5 (4) ◽  
pp. 362
Author(s):  
Tasha Fitria Kusumanagara ◽  
Fauziah Fauziah ◽  
Deny Hidayatullah
Keyword(s):  
Expert System ◽  
Autism Diagnosis ◽  
Certainty Factor ◽  
Literature Study ◽  
Web Based ◽  
Forward Chaining ◽  
Factor Method ◽  
Interview Methods ◽  
Collection Methods ◽  
The Web

Lack of parental or community knowledge of the symptoms of autism in their children results in neglected early detection. This of course can be too late in the treatment of autism in the future. Therefore, this study aims to design a web-based expert system for diagnosing children's autism. The development model used to design an autism expert system in children is a waterfall and implements the forward chaining method and the certainty factor method. While the data collection methods consisted of interview methods and literature study methods. From the results of the calculation test, it is concluded that the results of manual calculations and the web-based application of an expert system for autism diagnosis in children are the same as the results of the 98% confidence level. With this web-based autism expert system in children, it is hoped that it can help parents or the community to detect autism in their children early on.Keywords:Autism, Expert System, Web Based, Forward chaining Method, Certainty factor Method.

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